Data Architect
First seen by Alion on Sep 18, 2026.
About the Role :
We are looking for an experienced Cloud Data Architect / Data Governance Architect with 7+ years of experience in Data Engineering, Data Architecture, Cloud Data Platforms, and Data Governance.
Key Responsibilities :
1. Cloud Data Architecture :
- Design, build, and maintain enterprise-scale data architectures across Azure and AWS.
- Design Data Lakes, Data Warehouses, Lakehouse platforms, and real-time data processing architectures.
- Develop cloud-native solutions using PaaS, serverless, managed data services, and automation.
- Define scalable architectures for batch, streaming, ETL/ELT, and API-based data integration.
- Create architecture blueprints, solution designs, data flows, and technical documentation.
2. Azure & AWS Data Platforms :
- Azure: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2 (ADLS), Azure SQL, Azure Cosmos DB, Azure Key Vault, Azure Functions, Azure Monitor / Log Analytics, Microsoft Purview.
- AWS: Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon EMR, Amazon DynamoDB, Amazon RDS, AWS IAM, AWS Lake Formation, Amazon CloudWatch, AWS Secrets Manager.
3. Data Governance :
- Define and implement enterprise data governance frameworks and standards.
- Establish practices for data ownership, stewardship, classification, metadata management, lineage, and data quality.
- Implement data cataloguing and discovery solutions across cloud data platforms.
4. Data Security & Compliance :
- Design secure data architectures incorporating security and privacy by design principles.
- Implement RBAC/IAM, least-privilege access, encryption, secrets management, and network security.
- Ensure appropriate protection of sensitive and personally identifiable information (PII).
5. Data Integration & Engineering :
- Design and govern ETL/ELT pipelines across cloud and on-premises environments.
- Work with structured, semi-structured, and unstructured data.
- Design integration solutions using SQL, NoSQL, APIs, streaming platforms, and big data technologies.
6. DevOps & Infrastructure Automation :
- Implement CI/CD practices for cloud data products.
- Work with Git, Azure DevOps, GitHub Actions, Jenkins, or equivalent tools.
- Implement Infrastructure as Code using Terraform or equivalent IaC technologies.
Tech Stack & Requirements :
- 7+ years overall experience in Data Engineering, Data Architecture, Cloud Data, or related roles.
- Strong experience with Azure and/or AWS cloud data platforms (5+ years in one + 2+ years in the other).
- Strong SQL and database knowledge.
- Experience with big data and/or streaming technologies (e.g., Kafka).
- Knowledge of GDPR, HIPAA, ISO, or similar compliance frameworks.
- Strong documentation and stakeholder-management skills.
Education :
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, Engineering, or equivalent experience.
Skills
Data Governance, AWS, Azure, Data Engineering, Data Warehousing, ETL, SQL, Kafka, Data Architect, Google Cloud Platform, Cloud